Sandy Sgorlon

831 total citations
35 papers, 645 citations indexed

About

Sandy Sgorlon is a scholar working on Molecular Biology, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Sandy Sgorlon has authored 35 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Agronomy and Crop Science and 9 papers in Animal Science and Zoology. Recurrent topics in Sandy Sgorlon's work include Gut microbiota and health (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Reproductive Physiology in Livestock (6 papers). Sandy Sgorlon is often cited by papers focused on Gut microbiota and health (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Reproductive Physiology in Livestock (6 papers). Sandy Sgorlon collaborates with scholars based in Italy, Russia and Brazil. Sandy Sgorlon's co-authors include Bruno Stefanon, Misa Sandri, Monica Colitti, Simeone Dal Monego, Giuseppe Conte, Gianfranco Gabai, G. Stradaioli, Danilo Licastro, Maura Farinacci and Mariasilvia D’Andrea and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Animal Feed Science and Technology.

In The Last Decade

Sandy Sgorlon

35 papers receiving 623 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sandy Sgorlon 318 175 151 128 103 35 645
Abdulrahman S. Alharthi 183 0.6× 338 1.9× 450 3.0× 135 1.1× 77 0.7× 79 981
Dan Shao 191 0.6× 371 2.1× 53 0.4× 80 0.6× 68 0.7× 38 711
Dawn Koltes 134 0.4× 289 1.7× 168 1.1× 177 1.4× 41 0.4× 40 671
G. Dusel 112 0.4× 233 1.3× 360 2.4× 125 1.0× 54 0.5× 41 705
Andrea Bedford 196 0.6× 254 1.5× 84 0.6× 61 0.5× 95 0.9× 16 629
E. Fusi 154 0.5× 75 0.4× 46 0.3× 73 0.6× 115 1.1× 38 534
Lihuai Yu 162 0.5× 188 1.1× 209 1.4× 71 0.6× 70 0.7× 34 554
Vincenzo Lopreiato 187 0.6× 331 1.9× 712 4.7× 253 2.0× 132 1.3× 85 1.1k
Zhe Sun 247 0.8× 102 0.6× 110 0.7× 82 0.6× 99 1.0× 32 496
Sonja N. Heinritz 328 1.0× 134 0.8× 127 0.8× 59 0.5× 155 1.5× 10 640

Countries citing papers authored by Sandy Sgorlon

Since Specialization
Citations

This map shows the geographic impact of Sandy Sgorlon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sandy Sgorlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandy Sgorlon more than expected).

Fields of papers citing papers by Sandy Sgorlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandy Sgorlon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sandy Sgorlon. The network helps show where Sandy Sgorlon may publish in the future.

Co-authorship network of co-authors of Sandy Sgorlon

This figure shows the co-authorship network connecting the top 25 collaborators of Sandy Sgorlon. A scholar is included among the top collaborators of Sandy Sgorlon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandy Sgorlon. Sandy Sgorlon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stefanon, Bruno, et al.. (2023). Regulatory Role of microRNA of Milk Exosomes in Mastitis of Dairy Cows. Animals. 13(5). 821–821. 12 indexed citations
2.
Stefanon, Bruno, et al.. (2023). Factors Affecting Gut Microbiota of Puppies from Birth to Weaning. Animals. 13(4). 578–578. 5 indexed citations
3.
Palombo, Valentino, Mariasilvia D’Andrea, Danilo Licastro, et al.. (2021). Single-Step Genome Wide Association Study Identifies QTL Signals for Untrimmed and Trimmed Thigh Weight in Italian Crossbred Pigs for Dry-Cured Ham Production. Animals. 11(6). 1612–1612. 7 indexed citations
4.
Colitti, Monica, Sandy Sgorlon, & Bruno Stefanon. (2020). Exosome cargo in milk as a potential marker of cow health. Journal of Dairy Research. 87(S1). 79–83. 19 indexed citations
5.
Stefanon, Bruno, et al.. (2020). Learning machine approach reveals microbial signatures of diet and sex in dog. PLoS ONE. 15(8). e0237874–e0237874. 25 indexed citations
6.
Palombo, Valentino, et al.. (2020). PANEV: an R package for a pathway-based network visualization. BMC Bioinformatics. 21(1). 46–46. 19 indexed citations
7.
Sandri, Misa, et al.. (2020). Effect of different starch sources in a raw meat-based diet on fecal microbiome in dogs housed in a shelter. Animal nutrition. 6(3). 353–361. 9 indexed citations
8.
Colitti, Monica, Sandy Sgorlon, Danilo Licastro, & Bruno Stefanon. (2018). Differential expression of miRNAs in milk exosomes of cows subjected to group relocation. Research in Veterinary Science. 122. 148–155. 34 indexed citations
9.
D’Andrea, Mariasilvia, Danilo Licastro, Fabio Pilla, et al.. (2017). Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome. Journal of Animal Science and Biotechnology. 8(1). 11–11. 7 indexed citations
10.
Gabai, Gianfranco, et al.. (2017). Milk cortisol response to group relocation in lactating cows. Journal of Dairy Research. 84(1). 36–38. 12 indexed citations
11.
Sgorlon, Sandy, Bruno Stefanon, Misa Sandri, & Monica Colitti. (2016). Nutrigenomic activity of plant derived compounds in health and disease: Results of a dietary intervention study in dog. Research in Veterinary Science. 109. 142–148. 22 indexed citations
12.
Sandri, Misa, Simeone Dal Monego, Giuseppe Conte, Sandy Sgorlon, & Bruno Stefanon. (2016). Raw meat based diet influences faecal microbiome and end products of fermentation in healthy dogs. BMC Veterinary Research. 13(1). 65–65. 134 indexed citations
13.
Sgorlon, Sandy, et al.. (2015). Factors affecting milk cortisol in mid lactating dairy cows. BMC Veterinary Research. 11(1). 259–259. 44 indexed citations
14.
Sgorlon, Sandy, Monica Colitti, Elisa Asquini, et al.. (2012). Administration of botanicals with the diet regulates gene expression in peripheral blood cells of Sarda sheep during ACTH challenge. Domestic Animal Endocrinology. 43(3). 213–226. 22 indexed citations
15.
Mantovani, Roberto, Sandy Sgorlon, Lieta Marinelli, et al.. (2010). Oxidative stress indicators and metabolic adaptations in response to the omission of the dry period in dairy cows. Journal of Dairy Research. 77(3). 273–279. 19 indexed citations
16.
Farinacci, Maura, Monica Colitti, Sandy Sgorlon, & Bruno Stefanon. (2008). Immunomodulatory activity of plant residues on ovine neutrophils. Veterinary Immunology and Immunopathology. 126(1-2). 54–63. 29 indexed citations
17.
Colitti, Monica, Sandy Sgorlon, G. Stradaioli, et al.. (2007). Grape polyphenols affect mRNA expression of PGHS-2, TIS11b and FOXO3 in endometrium of heifers under ACTH-induced stress. Theriogenology. 68(7). 1022–1030. 13 indexed citations
18.
Farinacci, Maura, Monica Colitti, Sandy Sgorlon, & Bruno Stefanon. (2007). A technique to screen plant extracts for anti-inflammatory activity on ovine neutrophils. Italian Journal of Animal Science. 6(sup1). 548–550. 3 indexed citations
19.
Stefanon, Bruno, Sandy Sgorlon, & Gianfranco Gabai. (2005). Usefulness of Nutraceutics in Controlling Oxidative Stress in Dairy Cows Around Parturition. Veterinary Research Communications. 29(S2). 387–390. 24 indexed citations
20.
Sgorlon, Sandy, et al.. (2005). Dietary grape poliphenols modulate oxidative stress in ageing rabbits. Italian Journal of Animal Science. 4(sup2). 541–543. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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